Deep Learning ResNet-50 Framework for Automatic Early Breast Cancer Diagnosis-Reference-Cited by-同舟云学术

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Deep Learning ResNet-50 Framework for Automatic Early Breast Cancer Diagnosis

Published:2024-04-17 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Communication, Computing and Internet of Things (IC3IoT)
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Author:

Ashwini A¹,Suji M Angel Merlin²,Prathaban Banu Priya³,Shahila D Ferlin Deva¹,Jency Rubia J¹,Kumar Narla Vinod¹

Affiliation:

1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of ECE,Chennai,India

2. St. Xavier’s Catholic College of Engineering, Nagercoil,Department of CSE,Kanyakumari,India

3. School of computing, SRM institute of Science and Technology Kattankulathur,Department of Networking and Communication,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550185/10550194/10550264.pdf?arnumber=10550264

Reference21 articles.

1. A novel approach for breast cancer detection using optimized ensemble learning framework and XAI

2. EM-based segmentation-driven color standardization of digitized histopathology

3. Mathematical analysis of histogram equalization techniques for medical image enhancement: a tutorial from the perspective of data loss

4. Automatic Skin Tumour Segmentation Using Prioritized Patch Based Region – A Novel Comparative Technique

5. A hybrid approach for stain normalisation in digital histopathological images

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